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Samarkand International University of Technology, Uzbekistan
Dr. Arul Kumar Natarajan currently serves as an Assistant Professor in the Department of Computer Science at the Samarkand International University of Technology in Uzbekistan. He earned his Doctor of Philosophy in Computer Science from Bharathidasan University, India, in 2017.
Concurrently, he is engaged in postdoctoral research in Generative AI for Cybersecurity at the Singapore Institute of Technology, Singapore. Throughout his 14-year teaching career, Dr. Arul has held esteemed positions at various institutions, including Christ University, Bishop Heber College in India, and Debre Berhan University in Ethiopia.
Dr. Arul has made significant contributions to academia, specializing in cybersecurity and artificial intelligence, as evidenced by his portfolio of scholarly works. He has authored 50 peer-reviewed and internationally indexed publications and delivered 35 conference presentations. Additionally, he has edited and published 04 books with IGI Global, USA, which are indexed in Scopus and focus on Artificial Intelligence and Cybersecurity. He also has 04 more books in the processing stage with IGI Global, Wiley, and Springer.
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[Passionate about 📊AI & 🔐Cybersecurity]
In addition to his academic pursuits, Dr. Arul is a prolific innovator. He has 17 patents granted in India and 1 granted in the United Kingdom, spanning diverse fields such as communication and computer science. His latest work involves 1 copyrighted research (Govt. of India) in Artificial Intelligence and Machine Learning, specifically focused on segmenting, classifying, and tracking issue nuclei in images.
Dr. Arul also exhibits notable proficiency in networking and cybersecurity, having completed the CCNA Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. He continues to demonstrate a strong interest in Generative AI for Cybersecurity.
Post Doctoral Research: An Ensemble Framework for Detecting URL-Based Phishing Attacks Using Generative AI Techniques
Post Doctoral Research: An Ensemble Framework for Detecting URL-Based Phishing Attacks Using Generative AI Techniques
This research delves into cybersecurity, explicitly focusing on detecting URL-based phishing attacks. The study introduces a novel ensemble framework that leverages Generative Artificial Intelligence (GenAI) techniques, particularly Generative Adversarial Networks (GANs), to enhance the efficacy of phishing attack detection. This investigation aims to contribute significantly to advancing cybersecurity by harnessing cutting-edge technologies' capabilities.
This research delves into cybersecurity, explicitly focusing on detecting URL-based phishing attacks. The study introduces a novel ensemble framework that leverages Generative Artificial Intelligence (GenAI) techniques, particularly Generative Adversarial Networks (GANs), to enhance the efficacy of phishing attack detection. This investigation aims to contribute significantly to advancing cybersecurity by harnessing cutting-edge technologies' capabilities.
The primary objective of this research is to advance our understanding of how Generative AI, mainly through GANs, can enhance cybersecurity measures. By investigating the potential applications of Generative AI in detecting and mitigating cyber threats, the study aims to develop innovative strategies to bolster the confidentiality, integrity, and availability of information and systems. The findings will benefit cybersecurity professionals, policymakers, and organizations seeking innovative approaches to protect their digital assets.
The primary objective of this research is to advance our understanding of how Generative AI, mainly through GANs, can enhance cybersecurity measures. By investigating the potential applications of Generative AI in detecting and mitigating cyber threats, the study aims to develop innovative strategies to bolster the confidentiality, integrity, and availability of information and systems. The findings will benefit cybersecurity professionals, policymakers, and organizations seeking innovative approaches to protect their digital assets.
Research Institute: Singapore Institute of Technology, Singapore.
Research Institute: Singapore Institute of Technology, Singapore.
Badges Earned - Selected (Certifications)
Badges Earned - Selected (Certifications)
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